World’s leading platform for Everyday AI
Dataiku platform offers an end-to-end interface for data processing and preparation, data visualization, machine learning and advanced analytics. The collaboration features of the platform offer data scientists and data engineers to jointly work on modeling workflows and build successful DataOps or MLOps.
You can develop, share, and reuse code and applications for delivering high-quality projects. By creating statistical and machine learning models, managers and engineers can leverage the power of AI for data-driven decisions.
Architecture and Data Integration
Dataiku can run on-premise or in the cloud. In addition, Dataiku Data Science Studio (DSS) plugins enable us to connect to other platform such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.
A human must understand the decision and predictions made by an ML model. Dataiku provides critical capabilities for developing interpretable ML models. It enables you to understand and interpret predictions made by your model including reports on feature importance, partial dependence plots, subpopulation analysis, and individual prediction explanations.
Consulting Services for Dataiku
Geographical and Environmental Data
With Dataiku we can also integrate geographical and environmental data like weather to obtain realistic inference.
Data Governance and Flexible Scalability
Your data can be stored on-premise, on-cloud or on a hybrid data center.
We offer you a secure data architecture that fits your business model.
Logistics and replenishment
Integrate all necessary data for retail analytics to perfectly control your entire supply chain. This way, you increase the demand-based availability of your products.
Assortment optimizations allow you to gain a deep understanding of your customer’s needs. With dynamic pricing and market analyses, you keep an eye on the market and your competitors.
Smart Analytics & Data Warehousing
With your Smart Analytics solutions, you gain a 360° view of all data. Innovative data governance in a central Data Warehouse allows you to access all marketing channels + SAP S/4 HANA.
Customer analytics makes it possible to understand your customers’ buying behavior. In addition, you gain valuable insights to make personalized offers to your customers.
Our Success Stories
Manufacturing Analytics in Chip Production and semiconductor manufacturing.
Niologic analyzed FEOL data, based on which we were able to optimize the production of a large semiconductor manufacturer.
Time-series analysis in logistics with Data Analytics
Niologic implemented time-series analyses and a machine learning algorithm to predict supply shortages.